From MFKP_wiki

Jump to: navigation, search

Selection: See:L [5 articles] 

Publications by author See:L.

Development of a global hybrid forest mask through the synergy of remote sensing, crowdsourcing and FAO statistics

Remote Sensing of Environment, Vol. 162 (June 2015), pp. 208-220,


[Highlights] [::] Forest extent from 8 products was validated using crowdsourced data. [::] The first global 1 km forest cover map (in contrast with tree cover) was elaborated. [::] A hybrid forest map calibrated with FAO FRA data is produced. [::] Both crowdsourced data and result hybrid maps are made publicly available. [Abstract] A number of global and regional maps of forest extent are available, but when compared spatially, there are large areas of disagreement. Moreover, there is currently no global forest map that is consistent with ...


Comment on “The extent of forest in dryland biomes”

Science, Vol. 358, No. 6362. (26 October 2017), eaao0166,


Bastin et al. (Reports, 12 May 2017, p. 635) claim to have discovered 467 million hectares of new dryland forest. We would argue that these additional areas are not completely “new” and that some have been reported before. A second shortcoming is that not all sources of uncertainty are considered; the uncertainty could be much higher than the reported value of 3.5%. ...


Using volunteered geographic information (VGI) in design-based statistical inference for area estimation and accuracy assessment of land cover

Remote Sensing of Environment, Vol. 212 (June 2018), pp. 47-59,


[Highlights] [::] Use of VGI in design-based inference requires adhering to rigorous protocols. [::] Collecting VGI using a probability sample is best option for design-based inference. [::] Certainty stratum approach incorporates VGI to reduce standard errors. [::] Incorporating VGI in a model-assisted estimator is beneficial in limited situations. [::] VGI from non-probability sample requires difficult to verify assumptions. [Abstract] Volunteered Geographic Information (VGI) offers a potentially inexpensive source of reference data for estimating area and assessing map accuracy in the context of remote-sensing based land-cover monitoring. The quality ...


A dataset of forest biomass structure for Eurasia

Scientific Data, Vol. 4 (16 May 2017), 170070,


The most comprehensive dataset of in situ destructive sampling measurements of forest biomass in Eurasia have been compiled from a combination of experiments undertaken by the authors and from scientific publications. Biomass is reported as four components: live trees (stem, bark, branches, foliage, roots); understory (above- and below ground); green forest floor (above- and below ground); and coarse woody debris (snags, logs, dead branches of living trees and dead roots), consisting of 10,351 unique records of sample plots and 9,613 sample ...


Conservation: Citizens add to satellite forest maps

Nature, Vol. 490, No. 7420. (18 October 2012), pp. 342-342,
This page of the database may be cited as:
Integrated Natural Resources Modelling and Management - Meta-information Database.

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
Search only within the INRMM-MiD publication records:
Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.